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The increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths. In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced. Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments. [ABSTRACT FROM AUTHOR]

The aim of this paper is to trace the scientific landscape (authors, scientific papers, topics most frequently dealt with, relationships between them) of the studies concerning the viable system model (VSM) and the viable system approach (vSa), carried out in the period 1990–2018 within the scientific framework of systems thinking by scholars in business, management and accounting (BMA). The methodology adopted herein is based on a scientometric approach, bibliographic mapping and clustering. The analysis was carried out following a three‐step procedure: bibliographic coupling of scientific contributions (153 articles recorded in Scopus in the considered period), co‐occurrence of the main author keywords and analysis of co‐citations. This paper examines for the first time the entire scientific body of knowledge about viable system theories (VSTs) in BMA areas using recent joint mapping and clustering tools. [ABSTRACT FROM AUTHOR]